# didierbrun/DBPathRecognizer

Gesture recognizer tool [Swift / iOS]

Repository: https://github.com/didierbrun/DBPathRecognizer
Canonical: https://ross.abutalabs.com/products/dbpathrecognizer
Language: Swift
License: MIT
License Family: permissive
Last push: 2022-07-12T09:05:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4188, "days_push": 1513, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1178, forks 92 (observed 2026-08-28T04:03:53.042032+00:00)

## What it is
A lightweight Swift library for iOS that recognizes touch gestures by matching drawn paths against 8-direction direction-sequence models. It supports custom scoring filters and can be used for alphabets like Graffiti or free-form interface controls.

## Use cases
- recognize hand-drawn letters on an iOS screen
- add gesture-based controls to an iOS app
- implement a Graffiti-style text input
- match swipe paths to commands in a game
- detect custom touch patterns with per-model scoring filters

## When to choose
- you need simple, dependency-free gesture recognition in Swift
- you want to match strokes against a small set of predefined direction sequences
- you need fine control over recognition scoring with custom filters

## When to avoid
- you need advanced multi-touch or continuous gesture recognition
- you want a maintained, feature-rich gesture framework
- your project is not Swift/iOS based

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, gui
- domain: mobile-development
- platform: -
- tags: gesture-recognition, touch-input, path-matching, swift-library, algorithms, ios, swift

## Member repositories
- didierbrun/DBPathRecognizer (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:53.042032+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:26:06.210080+00:00, confidence not recorded.
  - readme: https://github.com/didierbrun/DBPathRecognizer (fetched 2026-08-28T04:03:53.042032+00:00, sha c73817dbb1ca)
- Data as of 2026-08-30T08:39:29.467469+00:00.